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Royal Statistical Society
Statistical Computing Section
Meetings
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Latent Class Analysis and Finite Mixture Models Meeting
Classical latent class analysis is a technique for probabalistic
clustering, finding subtypes of related cases from multivariate categorical
data. This half day meeting discusses extensions and developments in latent
class modelling. Software implementations in Latent GOLD and STATA will be
discussed, with applications from medicine, management and the social sciences.
"Applications of Latent Class Analysis: an Introduction to the
Technique and the LatentGOLD Software"
JEROEN K. VERMUNT (Department of Methodology and Statistics, Tilburg University
)
- The slides for this talk are available in pdf format.
"Using the latent class model for the analysis of misclassified data"
ARDO VAN DEN HOUT and PETER VAN DER HEIDEN (Department of Methodology and
Statistics, Utrecht University
)
- The slides for this talk are available in pdf format.
"Latent classes: discrete random effects and factors in GLLAMM"
ANDREW PICKLES, SOPHIA RABE-HESKETH and ANDERS SKRONDAL (School of Epidemiology
and Health Science, University of Manchester
)
- The slides for this talk are available in pdf format.
Report
- A Report on this meeting is available.
Date & Time
Wednesday 27th November 2002 at 2:00 - 5:15 pm
Place
Errol Street
Refreshments
There will be tea and biscuits served at 3:00 pm.
Enquiries
Phil Bowtell (01784 498374)
bowtell.p@pg.com
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